Literature DB >> 29987905

Simple Formula for Predicting Drug Removal Rates During Hemodialysis.

Motoki Urata1, Yuki Narita1, Masaki Fukunaga1, Daisuke Kadowaki2, Sumio Hirata1.   

Abstract

The present study sought to derive a simple formula for predicting the drug removal rates during hemodialysis. We examined the relationship between drug removal rates during hemodialysis and the molecular weights or pharmacokinetic parameters of injectable drugs (N = 90) obtained from pharmaceutical interview forms in Japan. Stepwise multiple regression analysis with the removal rate by hemodialysis as the objective variable adjusted for molecular weight or pharmacokinetic parameters as explanatory variables, showed that the logarithm of molecular weight (B = -18.87), the protein binding rate (B = -0.40), and the fraction of the unchanged drug excreted into the urine/volume of distribution (B = 0.05) were significantly and independently associated with drug removal rate by hemodialysis (α = 90.78, adjusted R2  = 0.64, P = 2.2e-16 ). Our data demonstrated that molecular weight, protein binding rate, and volume of distribution were important factors affecting drug removal during hemodialysis, and that our simple regression equation could be used to predict the drug removal rate during hemodialysis.
© 2018 International Society for Apheresis, Japanese Society for Apheresis, and Japanese Society for Dialysis Therapy.

Keywords:  Drug removal rate; Hemodialysis; Molecular weight; Pharmacokinetic parameters; Regression equation

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Year:  2018        PMID: 29987905     DOI: 10.1111/1744-9987.12675

Source DB:  PubMed          Journal:  Ther Apher Dial        ISSN: 1744-9979            Impact factor:   1.762


  2 in total

1.  Ambrisentan use in a HIV-1 infected patient with end-stage renal disease and pulmonary hypertension: minimal removal by hemodialysis - a case report.

Authors:  José Ramón Santos; Ana Merino; Walter E Haefeli; Cristina Miranda; Marisol Prats; Ioana Bancu; Lucía Bailón; José Moltó
Journal:  BMC Nephrol       Date:  2020-01-28       Impact factor: 2.388

2.  Construction of a prediction model for drug removal rate in hemodialysis based on chemical structures.

Authors:  Kousuke Nishikiori; Kentaro Tanaka; Yoshihiro Uesawa
Journal:  Mol Divers       Date:  2022-01-01       Impact factor: 3.364

  2 in total

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